Literature DB >> 20063179

Measuring birth weight in developing countries: does the method of reporting in retrospective surveys matter?

Andrew A R Channon1, Sabu S Padmadas, John W McDonald.   

Abstract

This study investigates the patterns of recording birth weight data in retrospective surveys and their influence on birth weight estimates in less developed countries. We hypothesise that the method of reporting birth weight in surveys influences the classification of infants in the low birth weight category. Population-level data from Demographic and Health Surveys conducted in six selected countries representing different regions of the world were used. Birth weight data were reported in the survey from either an official health card or from mother's memory. Birth weight distributions were examined in detail and revised low birth weight estimates were calculated accounting for potential heaping and data inconsistencies. There were substantial differences in the distribution of birth weights by method of reporting. The percentage of infants with low birth weight was higher in all six countries for birth weight recalled from memory than when reported from a health card. Health cards displayed less clustering on certain digits than memory recalled weights, but were still highly heaped in certain countries. Heaping of birth weight data on multiples of 500 g was also observed irrespective of any differences in method of reporting. The study concludes that the method of recording birth weight data can affect birth weight estimates in developing countries. Health systems in poor countries should initiate efforts to systematically monitor the recording of birth weight data ensuring for both quality and comparability at the international levels.

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Year:  2011        PMID: 20063179     DOI: 10.1007/s10995-009-0553-3

Source DB:  PubMed          Journal:  Matern Child Health J        ISSN: 1092-7875


  14 in total

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Journal:  Am J Public Health       Date:  2000-01       Impact factor: 9.308

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Journal:  Arch Dis Child       Date:  2000-03       Impact factor: 3.791

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Journal:  Bull World Health Organ       Date:  1987       Impact factor: 9.408

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Journal:  Bull World Health Organ       Date:  2005-03-16       Impact factor: 9.408

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Journal:  Br J Obstet Gynaecol       Date:  1987-08
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  22 in total

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Authors:  Whitney Schott; Elisabetta Aurino; Mary E Penny; Jere R Behrman
Journal:  Ann N Y Acad Sci       Date:  2017-10-24       Impact factor: 5.691

2.  Quality of anthropometric data in India's National Family Health Survey: Disentangling interviewer and area effect using a cross-classified multilevel model.

Authors:  Laxmi Kant Dwivedi; Kajori Banerjee; Radhika Sharma; Rakesh Mishra; Sowmya Ramesh; Damodar Sahu; Sanjay K Mohanty; K S James
Journal:  SSM Popul Health       Date:  2022-10-06

3.  Can maternal recalled birth size be used as a proxy measure of birth weight? An evaluation based on a population health survey in Oman.

Authors:  M Mazharul Islam
Journal:  Matern Child Health J       Date:  2014-08

4.  Birth weight and prepubertal body size predict menarcheal age in India, Peru, and Vietnam.

Authors:  Elisabetta Aurino; Whitney Schott; Mary E Penny; Jere R Behrman
Journal:  Ann N Y Acad Sci       Date:  2017-09-28       Impact factor: 5.691

5.  Exposure to ambient particulate matter and biomass burning during pregnancy: associations with birth weight in Thailand.

Authors:  William Mueller; Kraichat Tantrakarnapa; Helinor Jane Johnston; Miranda Loh; Susanne Steinle; Sotiris Vardoulakis; John W Cherrie
Journal:  J Expo Sci Environ Epidemiol       Date:  2021-02-18       Impact factor: 5.563

6.  Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015.

Authors:  Mark Lyons-Amos; Tara Stones
Journal:  BMC Res Notes       Date:  2017-12-20

7.  Distribution and Determinants of Low Birth Weight in Developing Countries.

Authors:  Rashidul Alam Mahumud; Marufa Sultana; Abdur Razzaque Sarker
Journal:  J Prev Med Public Health       Date:  2017-01

8.  Effectiveness of female community health volunteers in the detection and management of low-birth-weight in Nepal.

Authors:  S Amano; B P Shrestha; S S Chaube; M Higuchi; D S Manandhar; D Osrin; A Costello; N Saville
Journal:  Rural Remote Health       Date:  2014-03-28       Impact factor: 1.759

9.  Prevalence of low birth weight and macrosomia estimates based on heaping adjustment method in China.

Authors:  Liping Shen; Jie Wang; Yifan Duan; Zhenyu Yang
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

10.  Socio-economic and nutritional determinants of low birth weight in India.

Authors:  Manzur Kader; Nirmala K P Perera Perera
Journal:  N Am J Med Sci       Date:  2014-07
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